About me 

I am a postdoctoral research fellow under the supervision of Dr. Peng Jiang at National Cancer Institute (NCI), National Institutes of Health (NIH). I received the Ph.D. degree in Dr. Jiangwen Zhang's Lab from School of Biological Sciences (SBS) at the University of Hong Kong (HKU), where my research area was cancer systems biology. Prior to joining HKU, I earned a master degree at School of Life Science and Technology (SLST), University of Electronic Science and Technology of China (UESTC), and my advisor was Dr. Jian Huang and we worked on phage display informatics.

Education 

Period Degree Institute
2014 - 2018 Doctor of Philosophy (PhD) The University of Hong Kong (HKU)
2010 - 2013 Master of Science (MSc) University of Electronic Science and Technology of China (UESTC)
2006 - 2010 Bachelor of Science (BSc) University of Electronic Science and Technology of China (UESTC)

Research 

PeriodProjects
2019.10 - Present
  • Analyze cancer spatial transcriptomics data to discover knowledge on cancer immunology.
2014.09 - 2019.03
  • Build a comprehensive annotation and visualization database CR2Cancer for chromatin regulators (CRs) in cancers through high-throughput data analysis and literature mining.
  • Identify aberrant CRs affected by genomic alterations as master regulators across eight cancer types from TCGA through integrating multi-dimensional omics data.
  • Develop an easy-to-use web server MR4Cancer that can prioritize master regulators driving a cancer-related phenotypic divergence according to the input gene signatures.
  • Design an integrated portal TISIDB for tumor-immune system interactions, which includes multiple types of data resources in oncoimmunology including literature, high throughput data sets (i.e. cancer cohorts, screening and immunotherapy) and public databases.
2009.01 - 2014.06
  • Build a literature-based database and knowledge resource MimoDB for mimotope data, which are peptide sequences derived from phage display technology.
  • Develop an online tool PhD7Faster that can identify clones propagating faster from the Ph.D.-7 phage display peptide library based on support vector machine.

Publications 

See a full list of publications here.

Links  

[ Google Scholar ] [ ResearchGate ] [ ORCID ] [ Loop ] [ GitHub ]